Expansion-based depth map estimation for multi-view stereo
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員
替代計量分析
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摘要This paper presents an algorithm for acquiring high-quality models from multiple calibrated photographs by computing and merging depth maps. The algorithm first computes depth maps from multi-view stereo using a proposed expansion-based approach that returns a 3D point cloud with noisy and redundant information. Then the estimated depth maps are merged into an accurate surface model by a cleaning, downsampling, surface normal estimation and Poisson surface reconstruction process. The proposed approach has been implemented and the experimental results with several real datasets demonstrate that the approach can produce accurate surface models efficiently. ©2010 IEEE.
著者Song P., Wu X., Wang M.Y., Wu J.
會議名稱23rd IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010
會議開始日18.10.2010
會議完結日22.10.2010
會議地點Taipei
會議國家/地區台灣
出版年份2010
月份12
日期1
頁次3213 - 3218
國際標準書號9781424466757
國際標準期刊號2153-0858
語言英式英語

上次更新時間 2021-01-03 於 02:11